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knowledge in the field of machine learning, in particular deep neural networks Practical experience in the application of machine learning algorithms for both regression and classification problems Excellent
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, these information systems address the needs and interests of the various target groups. Data assimilation and aggregation is done using machine learning and modeling. Within the project, we are looking for a Student
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candidate to join our team to contribute to a project which will focus on the development of machine learning (ML) architectures for predicting and designing enzymatic reactions. To create the ML framework
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Data, geodata) Data visualization, georeferencing and web mapping (e.g. D3.js, open source GIS, R, Shiny)Programming, testing and documentation (e.g. Python, R, Jupyter, git) Machine learning and
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results Motivation to learn and communicate about Planetary Boundary Science Analytical interest in and understanding of political and scientific debates Project management skills and experience in
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, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both
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spatial database management, in data governance and the establishment of user and linked data services. Competencies in the fields of data literacy, spatial data science, GeoAI, machine learning and
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methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research
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, programming and experience with machine learning are advantageous. We expect an interest in seagoing work and independent data acquisition in the coastal zone of the Baltic Sea. What does the IOW offer? The IOW
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spatial database management, in data governance and the establishment of user and linked data services. Competencies in the fields of data literacy, spatial data science, GeoAI, machine learning and